Combinations of cytokine gene network polymorphic markers as potential predictors of myocardial infarction

• Published in: Russian journal of genetics 2014, Vol.50 (9), p.987-993
• Main Authors: Nasibullin, T. R, Timasheva, Ya. R, Tuktarova, I. A, Erdman, V. V, Nikolaeva, I. E, Mustafina, O. E
• Format: Article
• Language: English
• Subjects: alleles; Animal Genetics and Genomics; Biomedical and Life Sciences; Biomedicine; genetic markers; genotype; Human Genetics; interleukin-10; interleukin-6; Markov chain; men; Microbial Genetics and Genomics; Monte Carlo method; myocardial infarction; risk; single nucleotide polymorphism; tumor necrosis factors
• ISSN: 1022-7954; 1608-3369
• DOI: 10.1134/S1022795414090099

With the intent to identify informative predictors of myocardial infarction (MI) development in an ethnically homogenous group of Russian men after MI (255 subjects) and in a corresponding control group (257 subjects), an analysis of genotype frequency distribution for polymorphic DNA markers (SNP) rs16944 (−511C>T, IL1B gene), rs1800796 (−572G>C, IL6 gene), rs1800872 (−592C>A, IL10 gene), rs3212227 (1159A>C, IL12B gene), rs1800629 (−308G>A, TNF), rs909253 (252A>G, LTA), rs767455 (36A>G, TNFRSF1A) was conducted. Using the Monte Carlo method and a Markov chain (APSampler), allele combinations associated both with decreased and increased MI risk were revealed. The most significant results were obtained for IL6*C/C (P = 3 × 10⁻⁴, OR = 6.3 CI 2.37–16.75), LTA*A + IL6*G/G (FDR = 2.3 × 10⁻⁴, OR = 0.25 CI 0.14–0.46), LTA*G/G + IL12B*A/A (FDR = 0.0053, OR = 4.92 CI 1.8–13.33), TNF*G + LTA*G/G + TNFRSF1A*A (FDR = 0.013, OR = 4.38, CI 1.6–12.01), TNFRSF1A*G + IL10*A/A + IL12B*C (FDR = 0.016, OR = 8.79, CI 2.17–35.63), TNF*G + LTA*G/G + IL10*C (FDR = 0.0105, OR = 3.54 CI 1.55–8.09).